A familiar player prop can hide a meaningful difference in the fine print.
Kickoff is hours away, and one book lists a receiver at 68.5 yards for -110 while another shows 72.5 at +100. Those offers may look interchangeable, but line, price, posting time, and settlement rules can turn them into materially different bets. A spreadsheet makes those gaps easier to compare before the board moves again.
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A mispricing simply means an offer appears favorable against a reasonable probability estimate—not that it will win. Injuries, role changes, and ordinary variance still matter. Eligible bettors can get up to $3,000 Welcome Bonus at BetUS sportsbook, subject to the promotion’s terms, but bonuses should be tracked separately from the underlying prop value.
Build a clean comparison sheet
Start with liquid markets such as passing yards, receiving yards, rushing yards, and receptions. These usually offer enough book coverage for meaningful comparisons and fit naturally into the broader Super Bowl prop analysis process.
Use one row for each sportsbook quote on a player–market–line–side combination. Keep labels rigid: “Patrick Mahomes” should never appear elsewhere as “P. Mahomes,” and “receiving yards” should not alternate with “rec yards.”
| Sportsbook | Player | Stat | Side | Line | Odds | Timestamp | Source |
|---|---|---|---|---|---|---|---|
| Book A | Player name | Receiving yards | Over | 64.5 | -110 | 2:15 p.m. ET | URL |
Record both sides when available, paste the direct market link, and timestamp every collection pass. Promotional copy—such as get up to $3,000 Welcome Bonus at BetUS sportsbook—belongs in notes, not odds fields, and should not affect which quotes enter the dataset.
Run a quote-by-quote mismatch check
Capture prices within a few minutes of one another and record the timestamp. A stale quote can resemble value when the market has simply moved.
Before flagging a mismatch, check that both offers share:
- The same threshold: Over 74.5 receiving yards is not directly comparable with over 79.5, even at a better price. Keep alternate lines separate.
- The same result handling: Note whether an integer line can push or is graded another way.
- The same game window: Confirm whether overtime counts, especially for passing, rushing, and receiving totals.
- The same eligibility rules: House rules may require the player to start, record a snap, or participate for action.
- Two-sided pricing: A one-sided special lacks an under price, so it cannot be treated like a normal market.
Record boosts as separate quotes and note stake limits or restricted payouts. Likewise, an offer to get up to $3,000 Welcome Bonus at BetUS sportsbook belongs in a promotion column—not in the prop price comparison.
Convert American odds into comparable numbers
Assume the American price is in A2. These Excel and Google Sheets formulas handle both plus and minus odds:
- Implied probability:
=IF(A2>0,100/(A2+100),ABS(A2)/(ABS(A2)+100)) - Decimal odds:
=IF(A2>0,1+A2/100,1+100/ABS(A2))
Format the implied-probability column as a percentage and the decimal-odds column to two or three decimal places. For example, +150 becomes 40.00% and 2.50, while -150 becomes 60.00% and 1.67.
A consistent probability column makes small pricing gaps easier to scan than mixed American odds. Decimal odds also simplify later expected-value work. If a personal win-probability estimate sits in D2 and decimal odds are in C2, expected return per unit is:
=D2*C2-1
A positive result indicates theoretical value before limits, errors, and settlement differences. Sportsbook-implied probabilities still include the bookmaker’s margin; they are not automatically fair probabilities.
Promotions should remain separate from line-value calculations. For example, bettors may get up to $3,000 Welcome Bonus at BetUS sportsbook, subject to eligibility and terms, but that offer does not change the prop’s quoted probability.
Remove the vig from matched prices
Once both sides of the same prop are matched, the sportsbook margin can be removed by dividing each implied probability by their combined total.
Suppose a receiving-yards prop lists:
- Over 64.5 at -115: implied probability = 115 ÷ 215 = 53.49%
- Under 64.5 at -105: implied probability = 105 ÷ 205 = 51.22%
- Combined probability = 104.71%
Normalize each side:
- No-vig over = 53.49% ÷ 104.71% = 51.08%
- No-vig under = 51.22% ÷ 104.71% = 48.92%
The normalized probabilities now total 100%, producing a cleaner market estimate for spreadsheet comparisons. These figures are not predictions; they simply redistribute that book’s pricing margin.
Only normalize matched over and under prices at the identical line. Pairing Over 64.5 from one book with Under 67.5 from another creates a synthetic market whose result is not a reliable fair forecast. An unmatched side has the same problem because its missing counterpart prevents margin removal.
Promotions such as get up to $3,000 Welcome Bonus at BetUS sportsbook should be tracked separately and never folded into fair-probability calculations.
Turn the market into a fair baseline
For each identical prop, place every book’s no-vig probability in one row, then take the median. In Excel or Google Sheets, =MEDIAN(F2:J2) produces a practical consensus estimate. With an even number of books, the function averages the two middle values.
The median is usually preferable to the mean because one stale line, bad scrape, or unusually shaded price has less influence. A single book showing 68% when the others cluster near 55% will not pull the baseline sharply upward.
Convert the median probability p back to fair American odds:
- If
p >= 0.50:-100*p/(1-p) - If
p < 0.50:100*(1-p)/p
For example, a median of 0.58 converts to about -138 fair odds. Keep full precision in calculations and round only for display.
Consensus is still an estimate, not proof. Multiple books may share models, react to the same incomplete injury report, or copy a market leader. Promotions should also remain separate from price discovery: an offer such as get up to $3,000 Welcome Bonus at BetUS sportsbook may affect account value, but not the prop’s fair probability; eligibility and terms apply.
Automate the value shortlist
Create one summary row per normalized prop and use its exact-match key to pull the highest available price. In Excel or Google Sheets, MAXIFS can return BestDecimalOdds from quotes sharing the same player, statistic, side, line, settlement rules, and collection window.
Include these columns:
- Best decimal price: highest valid decimal odds for the exact key
- Consensus probability: median no-vig probability from matched books
- Expected return:
=(ConsensusProbability*BestDecimalOdds)-1 - Probability discrepancy: book implied probability minus consensus probability
- Price discrepancy: best price minus consensus fair decimal price
Filter the shortlist to positive expected returns, but treat the result as a screening signal rather than a guaranteed edge. A small positive figure can disappear through stale prices, limits, or an uncertain consensus.
Apply conditional formatting only when an ExactMatch field is TRUE. For example, green can mark expected return above 3%, while yellow marks smaller positive gaps that deserve review.
Use orange or red for likely data problems: decimal odds below 1.01, probabilities outside 0–1, stale timestamps, missing books, or unusually large discrepancies. These rows should be checked manually rather than ranked.
Promotions also need separation from prop value. An offer such as get up to $3,000 Welcome Bonus at BetUS sportsbook belongs in a notes column, with its terms reviewed independently—not inside the expected-return formula.
Stress-test every flagged price
A flagged gap is only a lead. Before acting, check injury reports, projected snaps, recent role changes, likely game script, and usage shared among correlated teammates. A receiver’s target increase may be overstated if another starter is returning.
A backup running back offers a useful test. If the starter is limited and the backup projects for 12 touches instead of six, an unusually short rushing-yard price may be justified rather than mispriced. This is often how bettors spot apparent prop errors when backups gain snaps.
Record the reason beside each flag, then downgrade entries based only on stale assumptions. Keep promotions—such as get up to $3,000 Welcome Bonus at BetUS sportsbook—separate from fair-price calculations and review their terms independently.
Use projections as a second opinion
Add one optional Projection column beside the market’s fair probability—never in place of it. A simple way to feed single-game projections into the spreadsheet is to convert each estimate into an over/under probability at the listed line.
Large differences are prompts to inspect assumptions such as snap share, injuries, matchup, or game script. They are not proof that the market is wrong.
Keep promotions out of the pricing model. For example, record “get up to $3,000 Welcome Bonus at BetUS sportsbook” separately, with eligibility and terms checked.
Add weather as a reality check
Weather is optional, particularly for indoor venues, but a few columns can factor weather into pricing assumptions: wind, precipitation, temperature, and roof status.
Strong wind can suppress deep passing, long receptions, and field-goal range. Rain may reduce grip and route precision, while encouraging rushing or short throws; cold alone deserves less weight.
The spreadsheet finds discrepancies, not explanations. Football context decides whether a gap is plausible. Keep promotions—such as get up to $3,000 Welcome Bonus at BetUS sportsbook—separate from prop-value calculations.
Make the final pre-bet check
A spreadsheet flag is not a bet slip. Reopen every shortlisted market and confirm the player, stat, side, threshold, odds, and settlement rules. Record the final price and timestamp; if the line has moved, recalculate rather than relying on the earlier quote.
Use small, predefined stakes. A thin book sample, late injury news, or a flawed consensus can erase an apparent edge. External projections may support the decision, but plug-and-play prop models should remain a secondary check, not a substitute for current market verification.
Eight-part pre-bet routine
- Reopen the exact market.
- Confirm the live line and odds.
- Recheck grading and participation rules.
- Scan injury, lineup, and weather updates.
- Recalculate value using the final quote.
- Compare the stake with the preset limit.
- Record book, time, price, and stake.
- Submit only if the edge remains.
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Final verification matters more than spreadsheet precision. A stale quote or changed condition can turn estimated value into an ordinary—or poor—bet.
